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Debeka and TH Koeln Fullstack Engineer tasks description
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✅ Conducted research in Machine Learning and Deep Learning using Keras, Scikit-Learn, and TensorFlow 2 (2 months after release), leveraging own NVIDIA GPU with 8GB and Google Colab.
✅ Developed a Deep Learning Toolchain for DNN modeling and evaluation, including preprocessing, CNN modeling with custom layers, multi-architecture training, fine-tuning, evaluation and Deep Feature Extraction with SVM, achieving state-of-the-art performance.
✅ Deployed a neural network on a mobile device using TensorFlow Lite and Android Studio.
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✅ Owning end-to-end feature development in a modern microservices architecture using NestJS, Raw SQL, MongoDB aggregations, Redis (Caching & PubSub), TypeORM, Mongoose, React (Hook Form, MobX, Context & Hooks), Next.js, AWS
✅ Implemented complex data migration ensuring data integrity
✅ Developed performance-optimized dashboards with pagination using advanced filter, search, and sort logic across multiple entities and schemas
✅ Created and maintain a responsive flagship npm library (30+ variations) with Web Components using Shadow DOM for script-embed isolation, shipped via GitHub Packages as embeddable script and as React components used on clients websites (20+ US clients) as well as in B2B applications
I once took notes (almost sentence by sentence with not much editing) about the architectural design concepts - Command and Query Responsibility Segregation (CQRS) and Event Sourcing (ES) - from a presentation of Greg Young and published it as a gist (with the times when a given sentence was heard).
I then found other summaries of the talk and the gist has since been growing up. See the revisions to know the changes and where they came from (aka the sources).
It seems inevitable to throw Domain Driven Design (DDD) in to the mix.